Triple
T26034386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panagia Platytera |
E647512
|
entity |
| Predicate | showsChristAs |
P112313
|
FINISHED |
| Object | Christ Emmanuel |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Christ Emmanuel | Statement: [Panagia Platytera, showsChristAs, Christ Emmanuel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsChristAs Context triple: [Panagia Platytera, showsChristAs, Christ Emmanuel]
-
A.
viewOnChrist
Indicates a person's stance, belief, or perspective regarding Jesus Christ.
-
B.
portraysCrucifixionAs
Indicates that one entity represents or depicts the crucifixion in a particular manner or interpretive style.
-
C.
recognizesJesusWhen
chosen
Indicates that one entity identifies or acknowledges Jesus as such under certain conditions or at a particular time.
-
D.
regardsJesusAs
Indicates that one entity holds a particular view, attitude, or evaluation of Jesus as another entity.
-
E.
portraysAsSaint
Indicates that one entity depicts or represents another entity as a saintly, holy, or morally exemplary figure.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6061bfb248190af47ba49de93abfc |
completed | May 2, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:06 a.m.